Nothing
library(TReNA)
library(RUnit)
#----------------------------------------------------------------------------------------------------
printf <- function(...) print(noquote(sprintf(...)))
#----------------------------------------------------------------------------------------------------
runTests <- function()
{
test_EnsembleSolverConstructor()
test_ampAD.mef2c.154tfs.278samples.ensemble()
} # runTests
#----------------------------------------------------------------------------------------------------
test_EnsembleSolverConstructor <- function()
{
printf("--- test_EnsembleSolverConstructor")
# Construct the EnsembleSolver and check that it's correct
#solver <- EnsembleSolver()
solver <- TReNA(matrix(), solver = "ensemble")
checkEquals(getSolverName(solver), "EnsembleSolver")
#checkTrue(all(c("EnsembleSolver", "Solver") %in% is(solver)))
}
# test_EnsembleSolverConstructor
#----------------------------------------------------------------------------------------------------
test_ampAD.mef2c.154tfs.278samples.ensemble <- function()
{
printf("--- test_ampAD.mef2c.154tfs.278samples.ensemble")
set.seed(122113)
# Load matrix and transform via arcsinh
load(system.file(package="TReNA", "extdata/ampAD.154genes.mef2cTFs.278samples.RData"))
target.gene <- "MEF2C"
mtx.asinh <- asinh(mtx.sub)
#print(fivenum(mtx.asinh) # [1] 0.000000 1.327453 3.208193 4.460219 7.628290)
trena <- TReNA(mtx.assay=mtx.asinh, solver="ensemble", quiet=FALSE)
tfs <- setdiff(rownames(mtx.asinh), "MEF2C")
tbl <- solve(trena, target.gene, tfs)
# Check for empirical values
checkTrue(min(tbl$pcaMax) > 1.2)
checkTrue(max(tbl$pcaMax) < 5.2)
checkTrue(min(tbl$concordance) > 0.4)
checkTrue(max(tbl$concordance) < 0.7)
checkTrue(c("HLF") %in% tbl$gene)
} # test_ampAD.mef2c.154tfs.278samples.ensemble
#----------------------------------------------------------------------------------------------------
if(!interactive()) runTests()
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